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employ skills in graphic design, mixed methods research, and scientific communication. Northeastern’s Roux Institute offers an academic research environment combined with access to end-users who bring real
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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characterization techniques. · Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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Biology: Strong background in systems biology and regulatory network modeling Interdisciplinary Collaboration: Experience working across disciplines with computational biologists, computer scientists, and
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work should demonstrate a strong focus on developing methods and workflows for mass spectrometry imaging, particularly as applied to single cells, tissues, or organoids. Expertise in post-acquisition
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and implement research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests procedures and engage in data collection analyze, evaluate
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advanced systems methods into operational tools used by cities, MPOs, and state DOTs. Position Overview The Postdoctoral Associate will lead and support research in: Transportation systems modeling and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North
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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic
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-of-the-art computational and statistical methods for integrative analysis of multi-omics datasets. Utilize high-performance computing environments to process large-scale datasets and analyze large-scale